Toward a Framework of Leader Character in Organizations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract While the construct of character is well grounded in philosophy, ethics, and more recently psychology, it lags in acceptance and legitimacy within management research and mainstream practice. Our research seeks to remedy this through four contributions. First, we offer a framework of leader character that provides rigor through a three‐phase, multi‐method approach involving 1817 leaders, and relevance by using an engaged scholarship epistemology to validate the framework with practicing leaders. This framework highlights the theoretical underpinnings of the leader character model and articulates the character dimensions and elements that operate in concert to promote effective leadership. Second, we bring leader character into mainstream management research, extending the traditional competency and interpersonal focus on leadership to embrace the foundational component of leader character. In doing this, we articulate how leader character complements and strengthens several existing theories of leadership. Third, we extend the virtues‐based approach to ethical decision making to the broader domain of judgement and decision making in support of pursuing individual and organization effectiveness. Finally, we offer promising directions for future research on leader character that will also serve the larger domain of leadership research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it